Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...
The next model shows a simple model of a recursive neural network for predicting a sinusoidal function (sin(πt)). A time frame is created and split in 10000 steps, which allows us to compute the ...
A 360° twisted helical capacitance sensor was developed for holdup measurement in horizontal two-phase stratified flow. Instead of suppressing nonlinear response, the sensor was optimized in such a ...
A glance at Bessel functions shows they behave similar to the damped sinusoidal function. In this paper two physical examples (pendulum and spring-mass system with linearly increasing length and mass ...
Liver sinusoidal endothelial cells (LSECs) line the liver sinusoids and separate passenger leukocytes in the sinusoidal lumen from hepatocytes. LSECs further act as a platform for adhesion of various ...
Abstract: In this paper, we propose new methods with the improved continuity performance of over and add speech signal synthesis method using amplitude-weighted phase ...
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